{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T12:55:09Z","timestamp":1790168109647,"version":"4.1.0"},"reference-count":32,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2018,4,16]],"date-time":"2018-04-16T00:00:00Z","timestamp":1523836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2018,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Acute myeloid leukemia (<jats:styled-content style=\"fixed-case\">AML<\/jats:styled-content>) is associated with frequent hospitalizations. We evaluated factors associated with length of stay (<jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content>) and charge per day (<jats:styled-content style=\"fixed-case\">CPD<\/jats:styled-content>) for admissions in older (\u226560\u00a0years) and younger patients (&lt;60\u00a0years). We identified patients with <jats:styled-content style=\"fixed-case\">ICD<\/jats:styled-content>\u20109\u2010<jats:styled-content style=\"fixed-case\">CM<\/jats:styled-content> codes for <jats:styled-content style=\"fixed-case\">AML<\/jats:styled-content> or myeloid sarcoma in the 2012 <jats:styled-content style=\"fixed-case\">HCUP<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">NIS<\/jats:styled-content>. In separate models based on age, we examined patient (sex, race, income, insurance payer, chronic conditions, chemotherapy administration, death) and hospital (type, geography) characteristics. Multivariable negative binomial regression estimated factor effects on <jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">CPD<\/jats:styled-content> using rate ratios, with <jats:styled-content style=\"fixed-case\">HCUP<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">NIS<\/jats:styled-content> weights. In 43,820 discharges, <jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content> was longer in patients &lt;60 than \u226560 (6.8 vs. 5.4\u00a0days). For patients &lt;60, longer <jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content> was seen with more chronic conditions (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a01.10), Black race (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a01.16), chemotherapy (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a02.27), and geography; shorter <jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content> was associated with older age (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a00.93), Medicare (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a00.83), and hospital type. For patients \u226560, longer <jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content> associated with chronic conditions (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a01.07) and Asian race (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a01.33). Shorter <jats:styled-content style=\"fixed-case\">LOS<\/jats:styled-content> associated with older age (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a00.86), higher income (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a00.93), and hospital type. For patients &lt;60, higher <jats:styled-content style=\"fixed-case\">CPD<\/jats:styled-content> associated with chronic conditions (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a01.05), death (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a01.93), and geography; lower <jats:styled-content style=\"fixed-case\">CPD<\/jats:styled-content> associated with increasing age (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a00.96), Medicaid (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a00.93), and rural hospitals (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a00.65). For patients \u226560, higher <jats:styled-content style=\"fixed-case\">CPD<\/jats:styled-content> associated with Medicare (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a01.05), more chronic conditions (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a01.02), younger age (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a01.1), west geography (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a01.37), death (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a01.45), and Hispanic race (<jats:styled-content style=\"fixed-case\">RR<\/jats:styled-content>\u00a0=\u00a01.15). We identify predictors for increased healthcare utilization in hospitalized patients with <jats:styled-content style=\"fixed-case\">AML<\/jats:styled-content>, which differ within age groups. Future efforts are needed to link utilization outcomes with clinical treatments and response.<\/jats:p>","DOI":"10.1002\/cam4.1492","type":"journal-article","created":{"date-parts":[[2018,4,16]],"date-time":"2018-04-16T22:42:14Z","timestamp":1523918534000},"page":"2744-2752","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Risk factors for length of stay and charge per day differ between older and younger hospitalized patients with <scp>AML<\/scp>"],"prefix":"10.1002","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8704-0296","authenticated-orcid":false,"given":"Anita J.","family":"Kumar","sequence":"first","affiliation":[{"name":"Institute for Clinical Research and Health Policy Studies Tufts Medical Center  Boston Massachusetts"},{"name":"Division of Hematology\/Oncology Tufts Medical Center  Boston Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tobi","family":"Henzer","sequence":"additional","affiliation":[{"name":"Institute for Clinical Research and Health Policy Studies Tufts Medical Center  Boston Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Angie Mae","family":"Rodday","sequence":"additional","affiliation":[{"name":"Institute for Clinical Research and Health Policy Studies Tufts Medical Center  Boston Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susan K.","family":"Parsons","sequence":"additional","affiliation":[{"name":"Institute for Clinical Research and Health Policy Studies Tufts Medical Center  Boston Massachusetts"},{"name":"Division of Hematology\/Oncology Tufts Medical Center  Boston Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,4,16]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2009-07-235358"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa0904544"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2009.23.8329"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2011.38.9429"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1001\/archinte.162.14.1597"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2005-09-3724"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1182\/asheducation-2010.1.62"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1182\/asheducation-2014.1.14"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.20138"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm4030441"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2007.15.4245"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1182\/blood.V126.23.217.217"},{"key":"e_1_2_6_14_1","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2010-04-277269"},{"key":"e_1_2_6_15_1","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2009.23.3130"},{"key":"e_1_2_6_16_1","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2007-11-124602"},{"key":"e_1_2_6_17_1","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.29436"},{"key":"e_1_2_6_18_1","unstructured":"Chronic Condition Indicator (CCI) for ICD\u20109\u2010CM. 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